Examples of using These algorithms in English and their translations into Hebrew
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Colloquial
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Ecclesiastic
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Computer
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Programming
And if these algorithms.
These algorithms are not applicable.
We couldn't hack the pass codes, these algorithms were some of the most secure we have encountered.
These algorithms usually have hundreds of variables.
But, despite massive amounts of scientific and computational effort, these algorithms are still far from perfect.
This makes these algorithms inefficient.
But, despite massive amounts of scientific and computational effort, these algorithms are still far from perfect.
These algorithms often compose hundreds of variables.
The difference between these algorithms can lead to different results when data is undetermined and collinear.
These algorithms would not be administered by the government;
But we really need you to make sure that these algorithms have encoded in them a sense of the public life, a sense of civic responsibility.
These algorithms often compose hundreds of variables.
Right? These algorithms can do that quite easily.
These algorithms could be written onto paper.
Normally, These algorithms often comprise hundreds of variables.
These algorithms are some of the most closely guarded secrets in the world.
Through these algorithms, you can process many more candidates.
These algorithms are used to identify handwritings, pictures and speech.
These algorithms provide confidentiality and ensure key security initiatives.
These algorithms can identify protesters even if their faces are partially concealed.
Using these algorithms, we're able to piece together pictures from this sparse, noisy data.
These algorithms vary in each search engine and are adjusted periodically to improve the quality of their results.
These algorithms had a sea full of men that wanted to take me out on lots of dates-- what turned out to be truly awful dates.
And if these algorithms, like the algorithms on Wall Street, just crashed one day and went awry, how would we know?
These algorithms function in different ways and have their own unique qualities and use cases where they can be applied.
These algorithms, being mathematical interpretations of observed data, do not explain the underlying reality that produces them.
While we have these algorithms, several problems can occur and it may happen that the prime numbers that we are generating not serve us, to do this we must consider several points.
These algorithms- Deep Neural Networks- broke boundaries, smashed records, and obtained novel achievements in the field of Artificial Intelligence, that had been all but lying dormant for decades.
These algorithms have become useful in Big Data environments since they require huge amounts of data to run a learning process to create a large enough collection of connections and then be able to apply this knowledge to new data.